Hey Tankejosh, can you please provide more info on how this compares to other solutions like Coolify or improves deployment?
Similar to Terraform / Pulumi: you can define nearly any AWS / GCP resource with a line of Python code, then deploy it across all of your environments with the CLI.
Similar to Coolify: all of your environment-level configuration (networking, permissions, etc) is handled for you, but you can always customize the underlying Terraform modules with Python (or bring your own custom Terraform).
The environment abstraction makes it really easy to switch between cloud services. Most of the teams using LaunchFlow will use serverless deployments for dev environments, then switch to VMs / Kuberenetes in prod for better performance / pricing.
Environments Docs: https://docs.launchflow.com/docs/concepts/environments